FAVE: factor analysis based approach for detecting product line variability from change history
FAVE: factor analysis based approach for detecting product line variability from change history
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FAVE：基于因子分析的方法，用于从变更历史中检测产品线变异性
DOI：
10.1145/1370750.1370753
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发表时间：
2008
期刊：
影响因子：
--
通讯作者：
T. Kikuno
中科院分区：
文献类型：
--
作者：
Kentaro Yoshimura;Fumio Narisawa;Koji Hashimoto;T. Kikuno
本文描述了一种从变更历史中检测软件产品线可变性的新方法，即将软件变更转换为向量并应用因子分析。为了证明我们的方法的适用性，我们使用汽车发动机控制软件的软件库进行了实验应用。作为实验的结果，可变性是从产品的变化历史中检测出来的。
This paper describes a novel approach to detect variability in a software product line from its change history such that software changes are converted to vectors and a factor analysis is applied. To show the applicability of our approach, we conducted experimental applications using a software repository of automotive engine control software. As a result of the experiments, variability is detected from the change history of products.